A Novel Precoder for Peak-to-Average Power Ratio Reduction in OTFS Systems
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arXiv
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866909460742537216 |
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| author | Prakash, Saurabh Khammammetti, Venkatesh Mohammed, Saif Khan |
| author_facet | Prakash, Saurabh Khammammetti, Venkatesh Mohammed, Saif Khan |
| contents | We consider the issue of high peak-to-average-power ratio (PAPR) of Orthogonal time frequency space (OTFS) modulated signals. This paper proposes a low-complexity novel iterative PAPR reduction method which achieves a PAPR reduction of roughly 5 dB when compared to a OTFS modulated signal without any PAPR compensation. Simulations reveal that the PAPR achieved by the proposed method is significantly better than that achieved by other state-of-art methods. Simulations also reveal that the error rate performance of OTFS based systems with the proposed PAPR reduction is similar to that achieved with the other state-of-art methods. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2501_10791 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A Novel Precoder for Peak-to-Average Power Ratio Reduction in OTFS Systems Prakash, Saurabh Khammammetti, Venkatesh Mohammed, Saif Khan Information Theory Signal Processing We consider the issue of high peak-to-average-power ratio (PAPR) of Orthogonal time frequency space (OTFS) modulated signals. This paper proposes a low-complexity novel iterative PAPR reduction method which achieves a PAPR reduction of roughly 5 dB when compared to a OTFS modulated signal without any PAPR compensation. Simulations reveal that the PAPR achieved by the proposed method is significantly better than that achieved by other state-of-art methods. Simulations also reveal that the error rate performance of OTFS based systems with the proposed PAPR reduction is similar to that achieved with the other state-of-art methods. |
| title | A Novel Precoder for Peak-to-Average Power Ratio Reduction in OTFS Systems |
| topic | Information Theory Signal Processing |
| url | https://arxiv.org/abs/2501.10791 |